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个人简介

卢瑶,助理教授,硕士生导师,于2020年7月获得哈尔滨工业大学博士学位,其后在澳门大学,视觉与图像处理实验室担任博士后。现为哈尔滨工业大学(深圳),计算机科学与技术学院,生物计算中心,助理教授。从事机器学习、模式识别、深度学习、计算机视觉相关理论及应用研究,目前在国际顶级期刊(IEEE TNNLS, TCYB, TSMC, TCSVT,TIFS,TGRS 等)和国际顶级会议(AAAI, IJCAI等)上发表文章30余篇,其中中科院一区和 CCF-A 会议文章18篇。受邀在 AAAI 和 IJCAI 等国际顶级会议上进行成果汇报。担任多个 IEEE trans. 和国际顶级会议系列刊物审稿人。主持多项国家级、省部级、市级科研项目。 工作经历 2021 — 现在,哈尔滨工业大学(深圳),计算机学院,助理教授 2020 — 2021,澳门大学,博士后 项目情况 国家自然科学基金青年基金,2023.01 - 2025.12,在研,主持 广东省自然科学基金-面上项目,2023.01 - 2025.12, 在研, 主持 广东省区域联合基金-青年基金项目, 2021.10 - 2024.09, 在研, 主持 深圳市重点技术攻关项目,2023.01 - 2025.12,在研,子课题负责人 深圳市人才专项-博士启动项目,2023.04 - 2026.04,在研,主持 深圳市鹏城孔雀高精尖缺人才启动项目,2023.01- 2025.12,在研,主持 横向-青少年脊柱侧弯线上筛查系统,2022.09 - 2023.12,在研,主持 横向-PCBA焊接缺陷视觉检测系统,2023.02 - 2023.12,在研,主持

研究领域

计算机视觉,深度学习,机器学习,图像处理

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

期刊论文(*代表通讯作者) Yao Lu, Guangming Lu, Jinxing Li, Yuanrong Xu, Zheng Zhang, David Zhang, “Multiscale Conditional regularization for Convolutional Neural Networks”, IEEE Transactions on Cybernetics, 52(1), 444-458, 2022. (中科院一区, JCR Q1,IF:11.448) Yao Lu, Zheng Zhang, Guangming Lu, Yicong Zhou, Jinxing Li, David Zhang, “Addi-Reg: A Better Generalization-Optimization Trade-off Regularization Method for Convolutional Neural Networks”, IEEE Transactions on Cybernetics, in press, 2021. (中科院一区, JCR Q1,IF:11.448) Yao Lu, Guangming Lu, Rui Lin, Jinxing Li, David Zhang, “SRGC-Nets: Sparse Repeated Group Convolutional Neural Networks”, IEEE Transactions on Neural Networks and Learning Systems, 31(8), 2889-2902, 2020. (中科院一区, JCR Q1,IF:10.451) Yao Lu, Le Zhang, Xiaofei Yang, Yicong Zhou, “Efficient Harmonic Neural Networks with Compound Discrete Cosine Transform Filters and Shared Reconstruction Filters”, IEEE Transactions on Neural Networks and Learning Systems, in press, 2022. (中科院一区, JCR Q1,IF:10.451) Bo Jiang, Yao Lu*, Bob Zhang, Guangming Lu, “AGP-Net: Adaptive Graph Prior Network for Image Denoising,” IEEE Transactions on Industrial Informatics, in press, 2023.(中科院一区,JCR Q1,IF:12.3) Bo Jiang, Yao Lu*, Xiaosheng Chen, Xinhai Lu and Guangming Lu, “Graph Attention in Attention Network for Image Denoising,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, in press, 2023. (中科院一区,JCR Q1,IF:11.471) Bo Jiang, Yao Lu*, Bob Zhang, Guangming Lu, “Few-Shot Learning for Image Denoising,” IEEE Transactions on Circuits and Systems for Video Technology, in press, 2023.(中科院一区,JCR Q1,IF:5.859) Bo Jiang, Yao Lu*, Jiahuan Wang, Guangming Lu*, David Zhang, “Deep Image Denoising with Adaptive Priors”, IEEE Transactions on Circuits and Systems for Video Technology, in press, 2022.(中科院一区,JCR Q1,IF:4.685) Bo Jiang, Yao Lu*, Guangming Lu*, David Zhang, “Real Noise Image Adjustment Networks for Saliency-aware Stylistic Color Retouch”, Knowledge-Based Systems, in press, 2022.(中科院一区, JCR Q1,IF:8.038) Jiahuan Wang, Yao Lu*, and Guangming Lu. “Lightweight image denoising network with four-channel interaction transform.” Image and Vision Computing, in press, 2023.(中科院三区,JCR Q1,IF:4.7) Yingjian Li, Yao Lu*, Bingzhi Chen, Jinxing Li, Zheng Zhang*, Guangming Lu, “Learning Informative and Discriminative Features for Facial Expression Recognition in the Wild”, IEEE Transactions on Circuits and Systems for Video Technology, in press, 2021. (中科院一区, JCR Q1,IF:4.685) Bingzhi Chen, Zheng Zhang*, Yao Lu*, Guangming Lu, David Zhang, “Semantic-Interactive Graph Convolutional Network for Multi-label Image Recognition”, IEEE Transactions on Systems, Man and Cybernetics: Systems,in press, 2021. (中科院一区, JCR Q1,IF:13.451) Le Zhang, Yao Lu*, Tong Li, Guangming Lu,“Joint Adjustment Image Steganography Networks”, Signal Processing: Image Communication, 118:117022, 2023. (中科院二区,JCR Q1,IF:3.437) Le Zhang, Yao Lu*, Jinxing Li, Fanglin Chen, Guangming Lu, David Zhang, “Deep Adaptive Hiding Network for Image Hiding using Attentive Frequency Extraction and Gradual Depth Extraction”, Neural Computing and Applications, in press, 2023.(中科院三区,JCR Q1,IF:5.102) Yao Lu, Guangming Lu, Yicong Zhou, Jinxing Li, Yuanrong Xu, David Zhang, “Highly Shared Convolutional Neural Networks”, Expert Systems with Applications, in press, 2021. (中科院一区, JCR Q1,IF:6.954) Yao Lu, Guangming Lu, Jinxing Li, Zheng Zhang, Yuanrong Xu, “Fully shared convolutional neural networks”, Neural Computing and Applications, in press, 2020. (JCR Q1, IF:5.606) Yao Lu, Guangming Lu, Jinxing Li, Yuanrong Xu, David Zhang. “High-parameter-efficiency convolutional neural networks.” Neural Computing and Applications, 32(14), 10633-10644, 2020. (JCR Q1, IF:5.606) Yao Lu, Guangming Lu, Yuanrong Xu, “Weighted channel-wise decomposed convolutional neural networks,” Neural Processing Letters, 50(1), 531-548, 2019. (JCR Q2,IF:2.891) Yuanrong Xu, Yao Lu, Guangming Lu, David Zhang, “Fast Pore Comparison for High Resolution Fingerprint Images Based on Multiple Co-occurrence Descriptors and Local Topology Similarities”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, in press, 2019. (中科院一区, JCR Q1,IF:13.451) Yuanrong Xu, Guangming Lu, Yao Lu, Feng Liu, David Zhang, “Fingerprint Pore Comparison Using Local Features and Spatial Relations”, IEEE Transactions on Circuits and Systems for Video Technology, 29(10): 2927-2940, 2019. (中科院一区, JCR Q1,IF:4.685) Yuanrong Xu, Guangming Lu, Yao Lu, David Zhang, “High resolution fingerprint recognition using pore and edge descriptors”, Pattern Recognition Letters, 2019. (JCR Q2,IF:3.255) Yuanrong Xu, Yao Lu, Fanglin Chen, Guangming Lu, David Zhang, “High Resolution Fingerprint Retrieval Based on Pore Indexing and Graph Comparison,” IEEE Transactions on Information Forensics and Security, in press, 2022.(中科院一区,CCF A,JCR Q1,IF:7.178) Bo Jiang, Mixiao Hou, Jiahuan Wang, Yao Lu, David Zhang, Guangming Lu, “Recursive Feature Diversity Network for audio super-resolution”, Speech Communication, 144: 57-66, 2022.(中科院三区,JCR Q1,IF:3.2) Xiaofei Yang, Weijia Cao, Yao Lu, Yicong Zhou, “Hyperspectral Image Transformer Classification Networks”, IEEE Transactions on Geoscience and Remote Sensing, in press, 2022.(中科院二区,JCR Q1,IF:5.6) Xiaofei Yang., Weijia Cao, Yao Lu, Yicong Zhou, “Self-supervised Learning with Prediction of Image Scale and Spectral Order for Hyperspectral Image Classification.” IEEE Transactions on Geoscience and Remote Sensing, 60, 1-15, 2022. (中科院二区,JCR Q1,IF:5.6) Xiaofei Yang., Weijia Cao, Yao Lu, Yicong Zhou, “QTN: Quaternion Transformer Network for Hyperspectral Image Classification.” IEEE Transactions on Circuits and Systems for Video Technology, in press, 2023. (中科院一区, JCR Q1,IF:4.685) 会议论文 Yao Lu, Guangming Lu, Bob Zhang, Yuanrong Xu, Jinxing Li, “Super Sparse Convolutional Neural Networks”, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 33: 4440-4447, Hawaii, USA, 2019. (顶级会议: CCF A,Oral) Yao Lu, Guangming Lu, Yuanrong Xu, Bob Zhang, “AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks”, International Joint Conference on Artificial Intelligence (IJCAI-18), 2511-2517, Stockholm, Sweden, 2018. (顶级会议: CCF A,Oral) Yingjian Li, Yao Lu, Jinxing Li, Guangming Lu, “Separate loss for basic and compound facial expression recognition in the wild.” Asian Conference on Machine Learning (ACML-19), 2019.(CCF C) Yao Lu, Guangming Lu, Rui Lin, “Pyramidal Combination of Separable Branches for Deep Short Connected Neural Networks.” Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Springer, Cham, 2018. Rui Lin, Yao Lu, Guangming Lu, “APAC-Net: Unsupersived Learning of Depth and Ego-Motion from Monocular Video.” Intelligence Science and Big Data Engineering Visual Data Engineering (ScIDE-19), 336-348, 2019. Bingzhi Chen, Yao Lu, Guangming Lu. “Multi-label Chest X-Ray Image Classification via Label Co-occurrence Learning.” Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Springer, Cham, 2019.

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